IEEE 3410-2025
IEEE Guide for Large-Scale Financial Risk Management Models
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Pasa de la teoría a la práctica con el Taller de IA: Fundamentos Prácticos y Maestría. Próximo 4 de Junio
¡RESERVA TU PLAZA AQUÍ!| Fecha edición: |
2025-07-18
En Vigor
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| Idiomas disponibles: | Inglés |
| Keywords: | financial risk management|large-scale financial risk management models|pre-training|fine-tuning|swift adaptation|iteration. |
| Scope: | New IEEE Standard - Active. This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models. |
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